Data Engineer

<h2>Job Description:</h2><ul>
<li>Design, build, and maintain scalable data pipelines and ETL processes to support analytics and business operations.</li>
<li>Develop data processing scripts and automation using Python to ingest, transform, and validate datasets.</li>
<li>Design and optimize SQL queries, schemas, and data models for performance and reliability.</li>
<li>Deploy and manage data workloads in AWS environments ensuring security, monitoring, and scalability.</li>
<li>Collaborate with analysts, developers, and business teams to ensure data accuracy, availability, and governance compliance</li>
</ul><h2>Requirements</h2><h2>Qualifications:</h2><ul>
<li><strong>Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or any related course.</strong></li>
<li><strong>3–5 years of experience in data engineering, data pipeline development, or backend data processing.</strong></li>
<li><strong>Strong proficiency in Python for data processing and automation.</strong></li>
<li>Advanced knowledge of<strong>SQL</strong>, data modeling, and relational database optimization.</li>
<li><strong>Hands-on experience with AWS data services (e.g., S3, RDS, Glue, Lambda, or similar).</strong></li>
<li><strong>Experience building ETL pipelines and handling structured and semi-structured data.</strong></li>
<li><strong>Familiar with version control, CI/CD workflows, and Agile methodologies.</strong></li>
<li>Strong analytical mindset with good documentation and communication skills.</li>
<li><strong>Can work fully onsite at Ortigas</strong></li>
</ul>